The current status of nano-hydrogel preparations for osteochondral repair: Systematic Review by Abebe Feyissa Amhare, Abebe Feyissa Amhare, Lichun Qiao, Huan Deng, Jinyan Lin, Jun Wang, Wei Wang, Jing Han

“…Future work should focus on long-term validation, functional outcome measures, and development of smart, adaptive materials to support clinical translation.…”
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Neural decoding of Aristotle tactile illusion using deep learning-based fMRI classification by Eunji Lee, Eunji Lee, Ji-Hyun Kim, Jaeseok Park, Jaeseok Park, Sung-Phil Kim, Taehoon Shin, Taehoon Shin, Taehoon Shin

“…This study aimed to identify brain regions involved in the Aristotle illusion using functional magnetic resonance imaging (fMRI) and deep learning-based analysis of fMRI data.MethodsWhile three types of tactile stimuli (Aristotle, Reverse, Asynchronous) were applied to thirty participants’ fingers, we collected fMRI data, and recorded the number of stimuli each participant perceived. …”
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Interdisciplinary approach to surgical treatment for patients with hypertrophic obstructive cardiomyopathy by K. V. Rudenko, L. O. Nevmerzhytska, M. V. Kozhanov, M. О. Tregubova, P. А. Danchenko

“…Surgical correction of HCM significantly improves the quality of life (80 % of patients were in NYHA II functional class after correction), reduces the symptoms of heart failure (93 % of patients had minimal mitral regurgitation after septal myectomy), decreases LVOT systolic pressure gradient (SPG) (the mean SPG was 18.9 ± 8.5 mmHg versus preoperative 93.6 ± 23.2 mmHg) and lowers the high-risk for SCD in the patients (the mean percentage of high-risk group was 3.78 % after correction). …”
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Effects of nitrogen and phosphorus addition on fine root morphological characteristics and biomass of Ligustrum lucidum in coastal new reclamation area by WANG Zhibao1, LU Xinghui1, ZHANG Yanyi1, WANG Hongjiao1,XIE Xian1, JIANG Hong3, HAN Jingya1, WANG Yihe1, LIANG Jing2*

“…The effects of N and P nutrients on the functional traits of fine roots in the soil surface were studied. …”
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Results of endovascular correction of atrial septal defect and early heart remodeling in children of preschool and school age by R. S. Tarasov, P. A. Shushpannikov, V. I. Ganyukov, I. N. Sizova

“…The following indicants were assessed during hospitalization: the success of the intervention, hospital complications, functional data characterizing CR according to echocardiography before and after the correction of the defect.Results. …”
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Tumor-infiltrating lymphocytes in cancer immunotherapy: from chemotactic recruitment to translational modeling by Fatjona Pupuleku Kraja, Vladimir B. Jurisic, Altijana Hromić-Jahjefendić, Nafsika Rossopoulou, Theodora Katsila, Katarina Mirjacic Martinovic, Javier De Las Rivas, Carmen Cristina Diaconu, Árpád Szöőr

“…This review explores the phenotypic and functional diversity of TILs—including CD8+ cytotoxic T cells, CD4+ helper T cells, regulatory T cells, B cells, and natural killer (NK) cells—and their dynamic interactions within the tumor microenvironment (TME). …”
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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…We compared different types of covariates (meteorological without precipitation, precipitation, remote sensing, and plant functional types) and their impact on model performance at the site level in a cross-validation setup.…”
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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…BackgroundWhile the Cardiometabolic Index (CMI) serves as a novel marker for assessing adipose tissue distribution and metabolic function, its prognostic utility for cardiovascular disease (CVD) events remains incompletely understood. …”
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Evaluating the Stress State and the Load-Bearing Fraction as Predicted by an In Vivo Parameter Identification Method for the Abdominal Aorta by Jerker Karlsson, Jan-Lucas Gade, Carl-Johan Thore, Carl-Johan Carlhäll, Jan Engvall, Jonas Stålhand

“…<b>Background:</b> Arterial mechanics are crucial to cardiovascular functionality. The pressure–strain elastic modulus often delineates mechanical properties. …”
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Comparative midterm results of surgical mitral valve replacement and transcatheter mitral valve replacement with the Tendyne SystemCentral MessagePerspective by Andrea Colli, MD, PhD, Cristina Di Franco, MD, Federico Giorgi, MD, Giosuè Falcetta, MD, Danilo Ruggiero, MD, Michele Celiento, MD, Giacomo Ravenni, MD, Riccardo Morganti, Stat Sci, Laura Besola, MD

“…Although the European System for Cardiac Operative Risk Evaluation II and Society of Thoracic Surgeons scores were similar, patients who underwent TMVR were older and had worse renal function and left ventricular ejection fraction (LVEF, 41.80 ± 13% and 56.89 ± 10.23%). …”
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Activation of eIF2α-ATF4 by endoplasmic reticulum-mitochondria coupling stress enhances COX2 expression and MSC-based therapeutic efficacy for rheumatoid arthritis by Jiaqing Liu, Xing Zhang, Xiangge Zhao, Jinyi Ren, Huina Huang, Cheng Zhang, Xianmei Chen, Weiping Li, Jing Wei, Xia Li

“…However, the loss of secretory function following cell delivery has significantly restricted its clinical application. …”
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Video Temporal Grounding with Multi-Model Collaborative Learning by Yun Tian, Xiaobo Guo, Jinsong Wang, Bin Li, Shoujun Zhou

“…Given an untrimmed video and a natural language query, the video temporal grounding task aims to accurately locate the target segment within the video. Functioning as a critical conduit between computer vision and natural language processing, this task holds profound importance in advancing video comprehension. …”
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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Despite their success, there are still some limitations: (1) A simple Gaussian distribution assumption in the latent space constrains performance due to the diverse distribution of forged images. (2) Gaussian Mixture Models (GMMs) introduce non-convex log-sum-exp functions in the Kullback–Leibler (KL) divergence term, leading to gradient instability and convergence issues during training. (3) Estimating GMM mixing coefficients typically involves either the expectation-maximization (EM) algorithm before VAE training or a multilayer perceptron (MLP), both of which increase computational complexity. …”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…Methods A framework for forecasting DF risk was developed by using high‐performance ML algorithms, namely Random Forests, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), based on sociodemographic, climate, landscape, and dengue surveillance epidemiological data (January 2000 to December 2021). …”
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Dual-level graph contrastive collaborative filtering by Jiahao Wang, Qingshuai Wang, Kai Ma, Noor Farizah Ibrahim, Zurinahni Zainol

“…Finally, DL-GCL employs a multi-task learning strategy to optimize local-global views and BPR (Bayesian Personalized Ranking) loss functions. Through extensive experiments on four public datasets, the evaluation metrics NDCG and Recall show up to a 24.5% improvement compared to the latest graph contrastive models. …”
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A searchable atlas of pathogen-sensitive lncRNA networks in human macrophages by Nils Schmerer, Harshavardhan Janga, Michelle Aillaud, Janina Hoffmann, Marina Aznaourova, Sarah Wende, Henrike Steding, Luke D. Halder, Michael Uhl, Fabian Boldt, Thorsten Stiewe, Andrea Nist, Lukas Jerrentrup, Andreas Kirschbaum, Clemens Ruppert, Oliver Rossbach, Evgenia Ntini, Annalisa Marsico, Chanil Valasarajan, Rolf Backofen, Uwe Linne, Soni S. Pullamsetti, Bernd Schmeck, Leon N. Schulte

“…We further uncover the function of ROCKI in repressing the messenger of the anti-inflammatory GATA2 transcription factor, thus promoting macrophage activation. …”
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Ab-Initio investigation of the structural, electronic, mechanical, thermophysical, and optical properties of the Zintl-phase K₂AgSb ternary compound for optoelectronic applications... by John Peter Kachira, Robinson Musembi, Francis Nyongesa, Mwende Mbilo, Martin Nyamunga, Ibrahim Musanyi

“…Various exchange-correlation functionals have been employed, including the local density approximation (LDA) and generalised gradient approximation (GGA). …”
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Plant-beneficial bacteria are promoted in pasture-crop rotations in the Uruguayan Pampa, contributing to soil health and crop performance by Victoria Cerecetto, Victoria Cerecetto, Kornelia Smalla, Doreen Babin, Carolina Leoni

“…This study examines how land use intensity and grazed pasture legacy influence soil and rhizosphere prokaryotic diversity, composition, functionality, and crop productivity.MethodsA gradient of land use intensities ranging from continuous cropping (CCG), short (SR) and long (LR) pasture-crop rotations, permanent improved pasture (PIP), and natural grassland (NGL) were sampled in a long-term field experiment established in 1995 in the Uruguayan Pampa. …”
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The significance of notch signaling in the regulation of Тreg-lymphocyte differentiation in patients with infiltrative pulmonary tuberculosis by A. E. Sanina, V. A. Serebryakova, O. I. Urazova, A. A. Gadzhiev, Т. E. Kononova

“…The overwhelming effect of Treg cells on the proliferation, functional activity of Th1 lymphocytes and antigen-presenting cells allows to consider this population as a possible target of modulation of the immune response in patients with tuberculosis. …”
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Single-cell RNA sequencing reveals the dysfunctional characteristics of PBMCs in patients with type 2 diabetes mellitus by Jindong Zhao, Jindong Zhao, Jindong Zhao, Zhaohui Fang, Zhaohui Fang, Zhaohui Fang

“…However, how immune cells function in the peripheral blood remains unclear. Exploring T2DM biomarkers via single-cell RNA sequencing (scRNA-seq) could provide new insights into the underlying molecular mechanisms.MethodsThe clinical trial registration number is ChiCTR2100049613. …”
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